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Security and Privacy Preserving in Social Networks pp 157–191Cite as

Social Semantic Network-Based Access Control

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Part of the book series: Lecture Notes in Social Networks ((LNSN))

Abstract

Social networks are the bases of the so-called Web 2.0, raising many new challenges to the research community. In particular, the ability of these networks to allow the users to share their own personal information with other people opens new issues concerning privacy and access control. Nowadays the Web has further evolved into the Social Semantic Web where social networks are integrated and enhanced by the use of semantic conceptual models, e.g., the ontologies, where the social information and links among the users become semantic information and links. In this chapter, we discuss which are the benefits of introducing semantics in social network-based access control. In particular, we analyze and detail two approaches to manage the access rights of the social network users relying on Semantic Web languages only, and we highlight, thanks to these two proposals, what are pros and cons of introducing semantics in social networks access control. Finally, we report on the other existing approaches coupling semantics and access control in the context of social networks.

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Notes

  1. 1.

    http://isicil.inria.fr/

  2. 2.

    http://ns.inria.fr/s4ac/

  3. 3.

    http://ns.inria.fr/prissma/

  4. 4.

    http://www.mindtouch.com/

  5. 5.

    http://bit.ly/w3rdfperm

  6. 6.

    The discussion about the use of named graphs in RDF 1.1 can be found at http://www.w3.org/TR/rdf11-concepts

  7. 7.

    http://bit.ly/graphterm

  8. 8.

    http://rdfs.org/sioc/spec/

  9. 9.

    http://www.w3.org/TR/skos-reference/

  10. 10.

    http://www.w3.org/wiki/WebAccessControl

  11. 11.

    http://ns.inria.fr/nicetag/2010/09/09/voc.html

  12. 12.

    http://spinrdf.org/

  13. 13.

    http://dublincore.org/documents/dcmi-terms/

  14. 14.

    http://xmlns.com/foaf/spec/

  15. 15.

    http://vocab.org/relationship/

  16. 16.

    http://www.w3.org/TR/sparql11-query/#ask

  17. 17.

    http://www.w3.org/TR/sparql11-federated-query/#update

  18. 18.

    http://bit.ly/XGR-mbui

  19. 19.

    http://bit.ly/dc-ontology

  20. 20.

    http://www.w3.org/TR/poi-core/

  21. 21.

    http://www.w3.org/TR/owl-time

  22. 22.

    http://vocab.deri.ie/rooms

  23. 23.

    http://www.w3.org/2005/Incubator/webid/spec/

  24. 24.

    The GRAPH keyword is used to match patterns against named graphs.

  25. 25.

    Notice that the client query can be every kind of query defined by the SPARQL 1.1 Query and Update language, e.g., CONSTRUCT, SELECT.

  26. 26.

    http://www.w3.org/TR/sparql11-update/#deleteInsert

  27. 27.

    Concerning accessing inferred statements, Corese-KGRAM allows to know where are the inferred triples. In this way, we can apply to these inferred triples the same access policies that regulate the access to the triples from which these triples have been inferred.

  28. 28.

    http://www-sop.inria.fr/edelweiss/software/corese/

  29. 29.

    http://www4.wiwiss.fu-berlin.de/bizer/BerlinSPARQLBenchmark/spec/Dataset/

  30. 30.

    http://www.xrml.org/

  31. 31.

    http://www.chiariglione.org/mpeg/standards/mpeg-21/mpeg-21.htm

  32. 32.

    http://www.w3.org/TR/odrl/

  33. 33.

    http://www.oasis-open.org/committees/xacml/

  34. 34.

    http://www.w3.org/2001/04/20-ACLs

  35. 35.

    http://www.w3.org/ns/auth/acl

  36. 36.

    http://www.jeromedl.org/eac/1.0/spec/index.html

  37. 37.

    http://vocab.deri.ie/ppo

  38. 38.

    http://www.w3.org/Submission/SWRL/

  39. 39.

    http://www.w3.org/Submission/SWRL/

  40. 40.

    http://xmlns.com/foaf/spec/

  41. 41.

    http://sioc-project.org/ontology

  42. 42.

    http://linkeddata.org/

  43. 43.

    http://www.w3.org/Submission/SWRL/

  44. 44.

    http://www.w3.org/2005/Incubator/webid/spec/

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Author information

Authors and Affiliations

  1. INRIA, Sophia Antipolis, Nice, France

    Serena Villata, Luca Costabello & Fabien Gandon

  2. I3S, Université Nice Sophia Antipolis - CNRS, Nice, France

    Catherine Faron-Zucker & Michel Buffa

Authors
  1. Serena Villata
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  2. Luca Costabello
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  3. Fabien Gandon
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  4. Catherine Faron-Zucker
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  5. Michel Buffa
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Correspondence to Serena Villata .

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Editors and Affiliations

  1. LIUPPA Laboratory, University of Pau and Adour Countries, Anglet, France

    Richard Chbeir

  2. Ticket Laboratory, Antonine University, Baabda, Lebanon

    Bechara Al Bouna

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Villata, S., Costabello, L., Gandon, F., Faron-Zucker, C., Buffa, M. (2013). Social Semantic Network-Based Access Control. In: Chbeir, R., Al Bouna, B. (eds) Security and Privacy Preserving in Social Networks. Lecture Notes in Social Networks. Springer, Vienna. https://doi.org/10.1007/978-3-7091-0894-9_6

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  • DOI: https://doi.org/10.1007/978-3-7091-0894-9_6

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